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docs/fr/docs/tutorial/first-steps.md
```Python hl_lines="1" {!../../../docs_src/first_steps/tutorial001.py!} ``` `FastAPI` est une classe Python qui fournit toutes les fonctionnalités nécessaires au lancement de votre API. !!! note "Détails techniques" `FastAPI` est une classe héritant directement de `Starlette`.
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docs/en/docs/deployment/https.md
But it is way more complex than that. !!! tip If you are in a hurry or don't care, continue with the next sections for step by step instructions to set everything up with different techniques. To **learn the basics of HTTPS**, from a consumer perspective, check <a href="https://howhttps.works/" class="external-link" target="_blank">https://howhttps.works/</a>.
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docs/fr/docs/index.md
* Sécurité et authentification, y compris la prise en charge de **OAuth2** avec les **<abbr title="en anglais : JWT tokens">jetons <abbr title="JSON Web Tokens">JWT</abbr></abbr>** et l'authentification **HTTP Basic**. * Des techniques plus avancées (mais tout aussi faciles) pour déclarer les **modèles <abbr title="JavaScript Object Notation">JSON</abbr> profondément imbriqués** (grâce à Pydantic).
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README.md
* Security and authentication, including support for **OAuth2** with **JWT tokens** and **HTTP Basic** auth. * More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic). * **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
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docs/en/docs/index.md
* Security and authentication, including support for **OAuth2** with **JWT tokens** and **HTTP Basic** auth. * More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic). * **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
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docs/fr/docs/advanced/additional-responses.md
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docs/en/docs/tutorial/body-updates.md
``` === "Python 3.8+" ```Python hl_lines="30-37" {!> ../../../docs_src/body_updates/tutorial002.py!} ``` !!! tip You can actually use this same technique with an HTTP `PUT` operation. But the example here uses `PATCH` because it was created for these use cases. !!! note Notice that the input model is still validated.
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RELEASE.md
[`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization). This class implements the sharpness-aware minimization technique, which boosts model performance on various tasks, e.g., ResNet on image classification. * `tf.data`: * Added support for cross-trainer data caching in tf.data service. This
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docs/en/docs/advanced/additional-responses.md
You might want to have some predefined responses that apply to many *path operations*, but you want to combine them with custom responses needed by each *path operation*. For those cases, you can use the Python technique of "unpacking" a `dict` with `**dict_to_unpack`: ```Python old_dict = { "old key": "old value", "second old key": "second old value", } new_dict = {**old_dict, "new key": "new value"} ```
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docs/en/docs/tutorial/schema-extra-example.md
You can set `schema_extra` with a `dict` containing any additional data you would like to show up in the generated JSON Schema, including `examples`. !!! tip You could use the same technique to extend the JSON Schema and add your own custom extra info. For example you could use it to add metadata for a frontend user interface, etc. !!! info
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